What makes a factory twin a digital twin?
Building and operating a digital twin starts with a defined use case and a maintainable operating model. A digital twin represents a defined physical factory, system or process and stays connected to it through governed data. Its purpose, update events, quality rules and responsible roles are explicit. A static 3D model remains a digital model; a one-way data representation is often better described as a digital shadow.
Useful applications
- Maintaining an accessible as-built and asset information base
- Planning changes against current geometry and equipment status
- Connecting operational KPIs with areas, systems or assets
- Preparing maintenance, training or remote collaboration
- Comparing operating scenarios where the model is validated for that purpose
Setup, upkeep and operating model
- Define the decision and users.
- Specify physical scope, identifiers and source systems.
- Build the minimum viable model and interfaces.
- Set data-quality, update and exception rules.
- Assign ownership, support and change control.
- Measure use and benefit before expanding scope.
Results and deliverables
- Use-case and value assessment
- Information and integration architecture
- Governed factory model and identifier concept
- Update, quality and responsibility model
- Implementation roadmap and operating handbook
Technical basis and limitations
A static 3D model does not become a digital twin merely through greater detail. A twin needs a defined physical subject, a business purpose, governed data flows, update events, quality rules and accountable roles. Where data only flows in one direction, the term digital shadow is often more precise.
Before implementation, the expected benefit is compared with the continuing effort for interfaces, data quality, operation and model maintenance. A planning-ready factory model is often sufficient for a one-off conversion decision.